pip installaton failed on mac and Ubuntu

[gaohongwei]

Short Question Description

I have tried to install on mac and ubuntu. Both are failed.
Ubuntu 22.04.4 LTS
Python 3.10 (Add #1260: Support for Python 3.10)

System Details (if relevant)

• Ubuntu
  PRETTY_NAME="Ubuntu 22.04.4 LTS"
  NAME="Ubuntu"
  VERSION_ID="22.04"
  VERSION="22.04.4 LTS (Jammy Jellyfish)"

• Python 3.10.12

• pip install auto-sklearn==0.14.7 or 0.15.0

• Error on Mac

• Preparing metadata (pyproject.toml) ... error
  error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [34 lines of output]

• Error on Ubuntu

•   performance hint: sklearn/neighbors/_binary_tree.pxi:539:5: Exception check on 'dual_swap' will always require the GIL to be acquired.
  Possible solutions:
      1. Declare 'dual_swap' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.
      2. Use an 'int' return type on 'dual_swap' to allow an error code to be returned.
  
  Error compiling Cython file:
  ------------------------------------------------------------
  ...
          # determine number of levels in the tree, and from this
          # the number of nodes in the tree.  This results in leaf nodes
          # with numbers of points between leaf_size and 2 * leaf_size
          self.n_levels = int(
              np.log2(fmax(1, (n_samples - 1) / self.leaf_size)) + 1)
          self.n_nodes = (2 ** self.n_levels) - 1
                                              ^
  ------------------------------------------------------------
    File "/usr/lib/python3/dist-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in <module>
  [ 1/53] Cythonizing sklearn/__check_build/_check_build.pyx
  [ 2/53] Cythonizing sklearn/_isotonic.pyx
  [ 3/53] Cythonizing sklearn/cluster/_dbscan_inner.pyx
  [ 4/53] Cythonizing sklearn/cluster/_hierarchical_fast.pyx
  [ 5/53] Cythonizing sklearn/cluster/_k_means_elkan.pyx
  [ 6/53] Cythonizing sklearn/cluster/_k_means_fast.pyx
  [ 7/53] Cythonizing sklearn/cluster/_k_means_lloyd.pyx
  [ 8/53] Cythonizing sklearn/datasets/_svmlight_format_fast.pyx
  [ 9/53] Cythonizing sklearn/decomposition/_cdnmf_fast.pyx
  [10/53] Cythonizing sklearn/decomposition/_online_lda_fast.pyx